结构方程建模
期望理论
独创性
心理学
编码(集合论)
技术接受与使用的统一理论
大流行
价值(数学)
2019年冠状病毒病(COVID-19)
社会心理学
互联网隐私
计算机科学
医学
疾病
集合(抽象数据类型)
病理
传染病(医学专业)
程序设计语言
机器学习
创造力
作者
Kian Yeik Koay,Ky-Leigh Ang
出处
期刊:British Food Journal
[Emerald (MCB UP)]
日期:2024-02-08
卷期号:126 (5): 2172-2186
被引量:1
标识
DOI:10.1108/bfj-10-2023-0880
摘要
Purpose This study aims to examine the factors influencing consumers’ intentions to use QR code menus in the post-COVID-19 pandemic using the unified theory of acceptance and use of technology and rational choice theory as the theoretical foundations. Design/methodology/approach Using a survey method, 200 data are collected from consumers who had used QR code menus in the past. Partial least squares structural equation modelling is used to analyse the data. Findings Our findings show that performance expectancy, effort expectancy, social influence, habit and perceived privacy protection have a significant positive influence on intentions. However, facilitating conditions, hedonic motivation and perceived privacy risk do not have a significant influence on intentions. Originality/value This study further extends the work of previous studies by using the unified theory of acceptance and use of technology model, with additional two new predictors, namely perceived privacy protection and perceived privacy risk, to understand consumers’ intentions to use QR code menus.
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